Lee M. Seversky

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All published works

Action	Title	Year	Authors
+ PDF Chat	Federated Variational Learning for Anomaly Detection in Multivariate Time Series	2021	Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu Houbing Song
+	Federated Variational Learning for Anomaly Detection in Multivariate Time Series	2021	Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu Houbing Song
+	Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model	2019	Namjoon Suh Xiaoming Huo Eric Heim Lee M. Seversky
+	Sequential Low-Rank Change Detection	2016	Yao Xie Lee M. Seversky
+ PDF Chat	Sequential low-rank change detection	2016	Yao Xie Lee M. Seversky
+	On Time-Series Topological Data Analysis: New Data and Opportunities	2016	Lee M. Seversky Shelby R. Davis Matthew Berger
+	Sequential Low-Rank Change Detection	2016	Yao Xie Lee M. Seversky
+	Efficient Online Relative Comparison Kernel Learning	2015	Eric Heim Matthew Berger Lee M. Seversky Miloš Hauskrecht
+	Efficient Online Relative Comparison Kernel Learning	2015	Eric Heim Matthew Berger Lee M. Seversky Miloš Hauskrecht
+	Active Perceptual Similarity Modeling with Auxiliary Information	2015	Eric Heim Matthew Berger Lee M. Seversky Miloš Hauskrecht
+	Efficient Online Relative Comparison Kernel Learning	2015	Eric Heim Matthew Berger Lee M. Seversky Miloš Hauskrecht

Common Coauthors

Coauthor	Papers Together
Eric Heim	5
Matthew Berger	5
Miloš Hauskrecht	4
Yushan Jiang	2
Yao Xie	2
Houbing Song	2
Dahai Liu	2
Xiaoming Huo	1
Kai Zhang	1
Kai Zhang	1
Yao Xie	1
Chengtao Xu	1
Chengtao Xu	1
Shelby R. Davis	1
Namjoon Suh	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+ PDF Chat	Optimal estimation and rank detection for sparse spiked covariance matrices	2014	Tommaso Cai Zongming Ma Yihong Wu	2
+	Nonmetric multidimensional scaling: A numerical method	1964	Joseph B. Kruskal	2
+	Adaptively Learning the Crowd Kernel	2011	Omer Tamuz Ce Liu Serge Belongie Ohad Shamir Adam Tauman Kalai	2
+	Adaptively Learning the Crowd Kernel	2011	Omer Tamuz Ce Liu Ohad Shamir Adam Tauman Kalai Serge Belongie	2
+	A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets	2012	Nicolas Le Roux Mark Schmidt Francis Bach	2
+	Optimal detection of sparse principal components in high dimension	2013	Quentin Berthet Philippe Rigollet	2
+	Rank Correlation Methods.	1957	M. G. Kendall	2
+ PDF Chat	Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming	2015	Yuxin Chen Yuejie Chi Andrea Goldsmith	2
+	Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation	2015	Dejiao Zhang Laura Balzano	2
+ PDF Chat	Computing Topological Persistence for Simplicial Maps	2014	Tamal K. Dey Fengtao Fan Yusu Wang	1
+ PDF Chat	Classification of hepatic lesions using the matching metric	2014	Aaron Adcock Daniel L. Rubin Gunnar Carlsson	1
+	A GENERAL METHOD FOR ESTIMATING A LINEAR STRUCTURAL EQUATION SYSTEM*	1970	Karl G. Jöreskog	1
+ PDF Chat	Stability of Persistence Diagrams	2006	David Cohen‐Steiner Herbert Edelsbrunner John Harer	1
+ PDF Chat	Stable Principal Component Pursuit	2010	Zihan Zhou Xiaodong Li John Wright Emmanuel J. Candès Yi Ma	1
+	NONLINEAR STATISTICS OF HUMAN SPEECH DATA	2009	Kenneth A. Brown K. Knudson	1
+ PDF Chat	Sliding Windows and Persistence: An Application of Topological Methods to Signal Analysis	2014	José A. Perea John Harer	1
+ PDF Chat	Topological Data Analysis of Biological Aggregation Models	2015	Chad M. Topaz Lori Ziegelmeier Tom Halverson	1
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	1
+ PDF Chat	On the largest principal angle between random subspaces	2005	Pierre-Antoine Absil Alan Edelman Plamen Koev	1
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	1
+	Consistency of trace norm minimization	2007	Francis Bach	1
+	Sketching for Sequential Change-Point Detection	2015	Yang Cao Andrew Thompson Meng Wang Yao Xie	1
+ PDF Chat	Geometry Helps to Compare Persistence Diagrams	2017	Michael Kerber Dmitriy Morozov Arnur Nigmetov	1
+	Isolation Forest	2008	Fei Tony Liu Kai Ming Ting Zhi‐Hua Zhou	1
+	A Fused Latent and Graphical Model for Multivariate Binary Data	2016	Yunxiao Chen Xiaoou Li Jingchen Liu Zhiliang Ying	1
+ PDF Chat	Linear-Size Approximations to the Vietoris–Rips Filtration	2013	Donald R. Sheehy	1
+	Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting	2017	Zhuang Ma Zongming Ma	1
+	Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs	2014	Jianhui Chen Tianbao Yang Shenghuo Zhu	1
+	Latent variable graphical model selection via convex optimization	2012	Venkat Chandrasekaran Pablo A. Parrilo Alan S. Willsky	1
+	Geometry Helps to Compare Persistence Diagrams	2015	Michael Kerber Dmitriy Morozov Arnur Nigmetov	1
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	1
+ PDF Chat	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks	2019	Dan Li Dacheng Chen Baihong Jin Lei Shi Jonathan Goh See-Kiong Ng	1
+ PDF Chat	Time-Series Anomaly Detection Service at Microsoft	2019	Hansheng Ren Bixiong Xu Yujing Wang Chao Yi Congrui Huang Xiaoyu Kou Tony Xing Mao Yang Jie Tong Qi Zhang	1
+	Projection-free Online Learning	2012	Elad Hazan Satyen Kale	1
+	DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN	2018	Swee Kiat Lim Yi Loo Ngoc-Trung Tran Ngai‐Man Cheung Gemma Roig Yuval Elovici	1
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	1
+	On the Convergence of FedAvg on Non-IID Data	2019	Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang	1
+ PDF Chat	Convolutional gated recurrent networks for video segmentation	2017	Mennatullah Siam Sepehr Valipour Martin Jägersand Nilanjan Ray	1
+ PDF Chat	Persistent homology of attractors for action recognition	2016	Vinay Venkataraman Karthikeyan Natesan Ramamurthy Pavan Turaga	1
+ PDF Chat	A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder	2018	Daehyung Park Yuuna Hoshi Charles C. Kemp	1
+ PDF Chat	Sketching for sequential change-point detection	2015	Yao Xie Meng Wang Andrew Thompson	1
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	1
+	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks	2019	Dan Li Dacheng Chen Baihong Jin Lei Shi Jonathan Goh See-Kiong Ng	1
+ PDF Chat	DÏoT: A Federated Self-learning Anomaly Detection System for IoT	2019	Thien Duc Nguyen Samuel Marchal Markus Miettinen Hossein Fereidooni N. Asokan Ahmad‐Reza Sadeghi	1
+	Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications	2018	Haowen Xu Yang Feng Jie Chen Zhaogang Wang Honglin Qiao Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu Zhihan Li	1
+	Density estimation for grouped data with application to line transect sampling	2010	Woncheol Jang Ji Meng Loh	1
+ PDF Chat	Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach	2020	Yi Liu Sahil Garg Jiangtian Nie Yang Zhang Zehui Xiong Jiawen Kang M. Shamim Hossain	1
+	Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions	2012	Alekh Agarwal Sahand Negahban Martin J. Wainwright	1
+ PDF Chat	Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding	2018	Kyle Hundman Valentino Constantinou Christopher Laporte Ian Colwell Tom Söderström	1